Development of a component-based interactive visualization system for the analysis of ocean data. Issue 2 (3rd April 2022)

• Record Type: Journal Article
• Authors: Wang, Yanjun; Li, Fuchao; Zhang, Bin; Li, Xiaofeng
• Is Part Of: Big earth data. Volume 6:Issue 2(2022)
• Page Start: 219
• Page End: 235
• Publication Date: 2022-04-03
• Subjects: Ocean visualization -- big data -- interactive visualization; Earth sciences -- Periodicals; Earth sciences -- Research -- Periodicals; Geographic information systems Periodicals; 550
• DOI: 10.1080/20964471.2021.1994362
• Languages: English
• ISSNs: 2096-4471

Abstract

ABSTRACT: With the continuous development of various types of fixed marine observation equipment, satellite remote sensing technology and computer simulation technology, modern marine scientific research has entered the era of big data. Interactive ocean visualization has become ubiquitous owing to the use of ocean data in studies of marine disasters, global climate change and fisheries. However, the primary challenge in analyzing large amounts of ocean data originates from the complexity of the data themselves. Therefore, an interactive multi-scale, multivariate visualization system with dynamic expansion potential is needed for analyzing larger volumes of ocean data. In this study, a unified visual data service was constructed, and a component-based interactive visualization structure for multi-dimensional, spatiotemporal ocean data is presented in this paper. Based on this structure, users can easily customize the system to visualize other types of scientific data.